What is statistics for data science?

Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.

Why learn statistics for data science?

Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.

What are typical careers that use statistics for data science?

Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.

How can online courses help me learn statistics for data science?

Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.

What are the benefits of taking an online Statistics for Data Science course?

Online Statistics for Data Science courses offer a convenient and flexible way to enhance your knowledge or learn new Statistics for Data Science skills. Choose from a wide range of Statistics for Data Science courses offered by top universities and industry leaders tailored to various skill levels.

What Statistics for Data Science courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Statistics for Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Statistics For Data Science Courses - Learn Statistics For Data Science Online

Explore the Statistics for Data Science Course Catalog

Duke University
Programming Fundamentals
Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Development Testing, Debugging
4.7
Rating, 4.7 out of 5 stars
6.9K reviews
Beginner · Course · 1 - 4 Weeks
Macquarie University
Data Visualization in Excel
Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Presentation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Spreadsheet Software, Dashboard, Microsoft Excel, Excel Macros, Infographics, Excel Formulas, Data Analysis, Data Manipulation, Forecasting
4.9
Rating, 4.9 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
IBM
Generative AI for Data Engineers
Skills you'll gain: ChatGPT, Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, OpenAI, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Modeling, Data Synthesis, Artificial Intelligence, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Software Development Tools, Image Analysis, Technical Communication
4.7
Rating, 4.7 out of 5 stars
5.9K reviews
Intermediate · Specialization · 1 - 3 Months
University of Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
The University of Chicago
Understanding the Brain: The Neurobiology of Everyday Life
Skills you'll gain: Psychology, Life Sciences, Anatomy, Behavioral Health, Non-Verbal Communication, Respiration, Mental and Behavioral Health Specialties, Vital Signs, Disabilities, Medical Terminology, Medical Science and Research
4.9
Rating, 4.9 out of 5 stars
3.1K reviews
Beginner · Course · 1 - 3 Months
University of Maryland, College Park
Survey Data Collection and Analytics
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Business Research, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Data Analysis, Statistical Modeling, Qualitative Research, Statistical Methods, Statistical Programming, Data Cleansing
4.4
Rating, 4.4 out of 5 stars
1.4K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Vanderbilt University
Agentic AI and AI Agents for Leaders
Skills you'll gain: ChatGPT, Generative AI, OpenAI, Artificial Intelligence, Personalized Service, Expense Management, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Productivity Software, Creativity, Digital Transformation, Business Process Automation, Expense Reports, Innovation, Natural Language Processing, Test Case, Scenario Testing, Problem Solving, Application Development, Communication
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Beginner · Specialization · 1 - 3 Months
IBM
Introduction to Big Data with Spark and Hadoop
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, SQL
4.4
Rating, 4.4 out of 5 stars
432 reviews
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Object-Oriented Data Structures in C++
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development
4.7
Rating, 4.7 out of 5 stars
3K reviews
Intermediate · Course · 1 - 4 Weeks
Amazon Web Services
Getting Started with Data Analytics on AWS
Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, AWS Identity and Access Management (IAM), Data Visualization, Amazon Web Services, Amazon S3, Business Intelligence, Cloud Computing
4.5
Rating, 4.5 out of 5 stars
883 reviews
Beginner · Course · 1 - 4 Weeks
University of Virginia
Design Thinking for Innovation
Skills you'll gain: Design Thinking, Creative Problem-Solving, Ideation, Innovation, Creativity, Strategic Thinking, Human Centered Design, Storytelling, Empathy, Leadership
4.7
Rating, 4.7 out of 5 stars
9K reviews
Beginner · Course · 1 - 3 Months
Google
Google IT Automation with Python
Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, Test Automation, CI/CD, Cloud Infrastructure, Cloud Computing, Technical Communication, Scripting, Network Troubleshooting, Web Services, Python Programming, Restful API, Computer Programming
4.7
Rating, 4.7 out of 5 stars
48K reviews
Beginner · Professional Certificate · 3 - 6 Months